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This is our 2020 curriculum. For the new structure, valid as of the 2021 intake, click here

Numerical simulation and scientific computing

Additional Info

  • ECTS credits: 6
  • Semester: 3
  • University: Vienna University of Technology
  • Objectives:


    This course will provide the students with the essential basic skills to tackle the myriad challenges in computational science and engineering. As such, the course is highly interdisciplinary as it covers several different topics in applied mathematics, scientific computing and computer science. (Due to the interdisciplinary nature, each/some topical block(s) could be handled by several departments; this would also help in balancing the load introduced by the examination which this course will certainly require. However, given the topics, probably 1-2 Institutes should be able to handle this, but it could be extended to involve more Institutes if desired.)

  • Topics:


    This course will cover basics in computer architectures, performance optimization, scientific programming with C/C++/Python, partial differential equations, finite difference method, solvers, research software engineering, shared- and distributed-memory parallelization with OpenMP and MPI on multi-core and cluster systems, ray tracing and surface tracking methods.

Read 6428 times Last modified on Tuesday, 20 February 2018 16:54
Home Structure for 2020 intake Course units Numerical simulation and scientific computing

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University of L'Aquila, Italy (UAQ)

Department of Information Engineering, Computer Science and Mathematics, via Vetoio (Coppito), 1 – 67100 L’Aquila (Italy)

University of Hamburg , Germany (UHH)

Department of Mathematics
Bundesstr. 55
20146 Hamburg - Germany

University of Côte d'Azur, Nice - France (UCA)

Laboratoire J.A.Dieudonné
Parc Valrose, France-06108 NICE Cedex 2